Adaptive Image Adjustment via Pixel-Weighted Blending
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Solution Overview
Problem
Conventional image enhancement techniques apply equal adjustments to all pixels, ignoring differences perceived by users, leading to suboptimal image quality.
Innovation Solution
An image adjustment method and device that generate an adaptive weight value based on the difference between first image data and specified data, allowing for differential blending of image data to maintain color continuity and enhance specific image regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional image enhancement techniques apply equal adjustments to all pixels, then the processing is simple and fast, but the image quality does not meet user perception requirements
Solution Approach 1:
The patent applies local quality by generating different weight values for different pixels based on their individual characteristics and differences from specified data. Each pixel is adjusted according to its own weight value rather than using a uniform adjustment across all pixels, thereby improving image quality while maintaining reasonable processing complexity through localized adaptation.
Solution Approach 2:
The patent implements dynamics by making the weight values adaptive and variable rather than static and uniform. The weight values are dynamically generated based on the difference between each pixel and specified data, allowing the image enhancement process to adapt to local variations in the image and achieve better quality results.
2Manufacturing precision
If adaptive weight values are generated for each pixel based on differences from specified data, then image quality and user perception are improved, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by treating each pixel as an independent unit with its own weight value calculation. Instead of processing the entire image uniformly, the method segments the image into individual pixel units and applies specific enhancement operations to each based on its unique characteristics and difference from specified data, thereby achieving high image quality through localized processing.
Data Source
AI summary
An image adjustment method includes the steps of: a) configuring a weight-value generator to receive first image data and specified data and to generate an adaptive weight value according to the first image data and the specified data; and b) configuring an image blender to receive the first image data and second image data, and to generate adjusted image data by blending the first image data and the second image data with reference to the adaptive weight value. The adaptive weight value has a magnitude that corresponds to a difference between the first image data and the specified data.